Snowflake

SEPTEMBER 11, 2023

Many customers evaluating how to protect personal information and minimize access to data look specifically to data governance in Snowflake features. Rights of access and rectification Law 25 covers right of access and rectification at a person’s request.

Cloud 107

Cloud Electronics Government Data Governance 107

Striim

NOVEMBER 8, 2023

Data Mesh is revolutionizing event streaming architecture by enabling organizations to quickly and easily integrate real-time data, streaming analytics, and more. In this article, we will explore the advantages and limitations of data mesh, while also providing best practices for building and optimizing a data mesh with Striim.

Architecture 52

Architecture Generalist Government Datasets 52

Snowflake

APRIL 18, 2024

Legacy security information and event management (SIEM) solutions, like Splunk, are powerful tools for managing and analyzing machine-generated data. Legacy SIEM cost factors to keep in mind Data ingestion: Traditional SIEMs often impose limits to data ingestion and data retention.

Data Lake 108

Data Lake Data Ingestion Bytes Cloud Computing 108

Knowledge Hut

JULY 2, 2024

With cloud computing, businesses can now access powerful computer resources without having to invest in their own hardware. ARPANET allowed users to access information and applications from remote computers, laying the groundwork for later developments in cloud computing.

Cloud Computing 98

Cloud Computing Cloud Healthcare Education 98

Cloudera

AUGUST 31, 2020

Cloudera recently hosted the Streaming Analytics in the Real World – Key Industry Use Cases virtual event to showcase practical, case-by-case applications of how fast-data and streaming analytics are revolutionizing industries. Static, historical data is no longer enough. .

Insurance 101

Insurance Manufacturing Retail Banking 101

Striim

SEPTEMBER 11, 2024

Understanding the essential components of data pipelines is crucial for designing efficient and effective data architectures. Continuous replication via CDC is an event driven architecture. This is a more efficient data pipeline methodology because it only gets triggered when there is a change to the source.”

Data Pipeline 98

Data Pipeline Designing Data Lake Data Warehouse 98

Data Engineering Weekly

DECEMBER 2, 2023

[link] Amazon S3 Express One Zone is a high-performance, single-availability Zone storage class purpose-built to deliver consistent single-digit millisecond data access for your most frequently accessed data and latency-sensitive applications. There are two critical properties of data warehouse access patterns.

IT 85

IT BI AWS Kafka 85

Data Engineering Podcast

FEBRUARY 27, 2022

Instead of trapping data in a black box, they enable you to easily collect customer data from the entire stack and build an identity graph on your warehouse, giving you full visibility and control. Sign up free… or just get the free t-shirt for being a listener of the Data Engineering Podcast at dataengineeringpodcast.com/rudder.

Designing 100

Designing Metadata Data Lake Relational Database 100

Knowledge Hut

MAY 22, 2024

Confidentiality Confidentiality in information security assures that information is accessible only by authorized individuals. It involves the actions of an organization to ensure data is kept confidential or private. Simply put, it’s about maintaining access to data to block unauthorized disclosure.

IT 98

IT Banking Healthcare Finance 98

Data Engineering Podcast

JANUARY 13, 2020

Summary The modern era of software development is identified by ubiquitous access to elastic infrastructure for computation and easy automation of deployment. This requires a new class of data storage which can accomodate that demand without having to rearchitect your system at each level of growth.

SQL 100

SQL PostgreSQL MongoDB Database 100

Data Engineering Podcast

APRIL 22, 2019

Summary One of the biggest challenges for any business trying to grow and reach customers globally is how to scale their data storage. To make it easier for startups to focus on delivering useful features Segment offers a flexible and reliable data infrastructure for your customer analytics and custom events.

Database 100

Database Cloud NoSQL Scala 100

Knowledge Hut

APRIL 25, 2024

Each of these technologies has its own strengths and weaknesses, but all of them can be used to gain insights from large data sets. As organizations continue to generate more and more data, big data technologies will become increasingly essential. Let's explore the technologies available for big data.

Big Data 98

Big Data Technology Hadoop NoSQL 98

Snowflake

JUNE 5, 2024

It provides access to industry-leading large language models (LLMs), enabling users to easily build and deploy AI-powered applications. By using Cortex, enterprises can bring AI directly to the governed data to quickly extend access and governance policies to the models.

Coding 114

Coding Building Management Government 114

Confluent

SEPTEMBER 20, 2019

This blog post goes over: The complexities that users will run into when self-managing Apache Kafka on the cloud and how users can benefit from building event streaming applications with a fully managed service for Apache Kafka. In the same way, messaging technologies don’t have storage, thus they cannot handle past data.

Kafka 21

Kafka Management Cloud AWS 21

Confluent

JULY 3, 2019

France, Brazil, and the USA are the favourites, and this year Italy is present at the event for the first time in 20 years. From a data perspective, the World Cup represents an interesting source of information. Data sources. The beginning of our journey starts with connecting to various data sources.

Data Analysis 21

Data Analysis Kafka Datasets Java 21

Knowledge Hut

APRIL 29, 2024

With video-conference resources, team members can stay connected to tasks and address general topics and events around the organization. Cloud-based platforms like Google's G Suite, Box, Dropbox, OneDrive, NextCloud, Wimi, and Samepage are handy to regulate tracking access, auditing, communication, and cooperation.

Project 98

Project Portfolio Cloud Data Storage 98

Netflix Tech

DECEMBER 14, 2018

under varying load conditions as well as a wide variety of access patterns; (b) scalability?—?persisting data access semantics that guarantee repeatable data read behavior for client applications. This makes multi-tenancy as well as access control of data important problems to solve.

Media 97

Media Database Metadata Data Schemas 97

Pinterest Engineering

MAY 2, 2023

So our user sequence real-time indexing pipeline is composed of a Flink job that reads the relevant events as they come into our Kafka streams, fetches the desired features for each event from our feature services, and stores the enriched events into our KV store system. Handles out-of-order inserts.

Lambda Architecture 90

Lambda Architecture Datasets Software Engineer Software Engineering 90

Netflix Tech

SEPTEMBER 18, 2024

Second, developers had to constantly re-learn new data modeling practices and common yet critical data access patterns. To overcome these challenges, we developed a holistic approach that builds upon our Data Gateway Platform. This model supports both simple and complex data models, balancing flexibility and efficiency.

Bytes 104

Bytes Metadata Database Data 104

Cloudera

NOVEMBER 16, 2022

I recently had the privilege of attending the CDAO event in Boston hosted by Corinium. Overall, it struck me that while data science is not new, most firms are still defining the mission of the data office and data officer. A large component of their role is data management related to regulatory compliance.

Insurance 81

Insurance Retail Healthcare Data 81

Hevo

JULY 2, 2024

Microsoft SQL Server (MSSQL) is a popular relational database management application that facilitates data storage and access in your organization. Backing up and restoring your MSSQL database is crucial for maintaining data integrity and availability. In the event of system failure or […]

Relational Database 52

Relational Database SQL Data Storage Database 52

Cloudera

AUGUST 11, 2021

Having only one vendor to call for updates, security patches, questions–or in the event of a problem–is a major plus for administrators. Vendors were interested in OpenStack, but customers saw better, more accessible platforms.” Reason No. 1: Support from the Top. ” Reason No. 5: Resources Can Ramp Up.

Cloud 121

Cloud Big Data Cloud Computing Government 121

ProjectPro

FEBRUARY 8, 2023

Application programming interfaces (APIs) are used to modify the retrieved data set for integration and to support users in keeping track of all the jobs. Users can schedule ETL jobs, and they can also choose the events that will trigger them. Create schedules or events that will act as job triggers.

AWS 98

AWS Scala Metadata Data Lake 98

AltexSoft

JUNE 7, 2021

As a result, a Big Data analytics task is split up, with each machine performing its own little part in parallel. Hadoop hides away the complexities of distributed computing, offering an abstracted API to get direct access to the system’s functionality and its benefits — such as. High latency of data access. scalability.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

Lyft Engineering

NOVEMBER 29, 2023

Our initial use for Druid was for near real-time geospatial querying and high performance on high-cardinality data sets. It also allowed us to optimize for handling time-series data and event data at scale. Kinesis → Flink → ClickHouse : this ingestion scheme populates our events data in ClickHouse.

Kafka 107

Kafka Data Ingestion Architecture Datasets 107

Databand.ai

MAY 30, 2023

High-quality data is essential for making well-informed decisions, performing accurate analyses, and developing effective strategies. Data quality can be influenced by various factors, such as data collection methods, data entry processes, data storage, and data integration.

Data Cleanse 85

Data Cleanse Datasets Data Governance Data Validation 85

Knowledge Hut

DECEMBER 22, 2023

Hadoop Gigabytes to petabytes of data may be stored and processed effectively using the open-source framework known as Apache Hadoop. Hadoop enables the clustering of many computers to examine big datasets in parallel more quickly than a single powerful machine for data storage and processing. degrees.

Hadoop 98

Hadoop Deep Learning Data Science Machine Learning 98

Databand.ai

JUNE 28, 2023

Having a bigger and more specialized data team can help, but it can hurt if those team members don’t coordinate. More people accessing the data and running their own pipelines and their own transformations causes errors and impacts data stability.

Data Pipeline 98

Data Pipeline Data Engineering Data Engineer Engineering 98

Knowledge Hut

FEBRUARY 13, 2024

Cybersecurity is the term used to describe efforts to protect computer networks from unauthorized access. It encompasses a broad range of activities, including network security systems, network monitoring, and data storage and protection. In addition, it's important to stay vigilant when it comes to cybersecurity.

Healthcare 98

Healthcare Cloud Computing Transportation Manufacturing 98

Knowledge Hut

JUNE 26, 2023

When screening resumes, most hiring managers prioritize candidates who have actual experience working on data engineering projects. Top Data Engineering Projects with Source Code Data engineers make unprocessed data accessible and functional for other data professionals. Which queries do you have?

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

Monte Carlo

MAY 28, 2024

Data Validation : Perform quality checks to ensure the data meets quality and accuracy standards, guaranteeing its reliability for subsequent analysis. Data Storage : Store validated data in a structured format, facilitating easy access for analysis. Used for identifying and cataloging data sources.

Data Ingestion 52

Data Ingestion Architecture Designing Hadoop 52

Towards Data Science

AUGUST 8, 2023

Where we started In the mid-2010s, data teams began migrating to the cloud and adopting data storage and compute technologies — Redshift, Snowflake, Databricks, GCP, oh my! — to The cloud made data faster to process, easier to transform and far more accessible. to meet the growing demand for analytics.

Coding 98

Coding Data Software Engineer Software Engineering 98

Data Engineering Weekly

DECEMBER 16, 2024

Organizations across industries moved beyond experimental phases to implement production-ready GenAI solutions within their data infrastructure. Natural Language Interfaces Companies like Uber, Pinterest, and Intuit adopted sophisticated text-to-SQL interfaces, democratizing data access across their organizations.

Data Engineering 63

Data Engineering Data Engineer Engineering Unstructured Data 63

Snowflake

MARCH 30, 2023

Snowpipe micro-batch into Snowflake: Either triggered through a cloud service provider’s messaging service (such as AWS SQS , Azure Event notification , or Google Pub/Sub ) or making calls to Snowpipe ’s REST API endpoints. Snowflake can also ingest external tables from on-premise s data sources via S3-compliant data storage APIs.

Engineering 105

Engineering Raw Data Data Science Machine Learning 105

Cloudera

JANUARY 21, 2021

With CDW, as an integrated service of CDP, your line of business gets immediate resources needed for faster application launches and expedited data access, all while protecting the company’s multi-year investment in centralized data management, security, and governance. One IT-step away from a life outside the shadows.

IT 94

IT Data Lake Data Warehouse Cloud Storage 94

AltexSoft

MAY 14, 2021

A growing number of companies now use this data to uncover meaningful insights and improve their decision-making, but they can’t store and process it by the means of traditional data storage and processing units. Key Big Data characteristics. Data storage and processing. Traditional approach.

Big Data 78

Big Data Data Analytics IT NoSQL 78

Cloudera

JUNE 27, 2023

An MDA allows you to identify silos and disparate processes, providing visibility across data functions and assets allowing rapid consolidation and harmonization. When you deploy a platform that supports MDA you can consolidate other systems, like legacy data mediation and disparate data storage solutions.

Data Architecture 62

Data Architecture Architecture Government Data Governance 62